Dynamic Adjustment of Storage Class Memory Capacity in Memory-Resource Disaggregated Hybrid Storage With SCM and NAND Flash Memory

Matsui, Chihiro; Takeuchi, Ken

doi:10.1109/tvlsi.2019.2905852

Cited by 5 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Algorithm I is the non-volatile memory capacity control algorithm, which triggers every V Byte read/write access to the storage controller [23,24]. In this study, V is set to 50 Mbyte.…”

mentioning

confidence: 99%

Heterogeneous Integration of Precise and Approximate Storage for Error-Tolerant Workloads

Matsui

Takeuchi

2023

IEICE Trans. Fundamentals

Self Cite

View full text Add to dashboard Cite

This study proposes a heterogeneous integration of precise and approximate storage in data center storage. The storage control engine allocates precise and error-tolerant applications to precise and approximate storage, respectively. The appropriate use of both precise and approximate storage is examined by applying a non-volatile memory capacity algorithm. To respond to the changes in application over time, the non-volatile memory capacity algorithm changes capacity of storage class memories (SCMs), namely the memory-type SCM (M-SCM) and storage-type SCM (S-SCM), in non-volatile memory resource. A three-dimensional triplelevel cell (TLC) NAND flash is used as a large capacity memory. The results indicate that precise storage exhibits a high performance when the maximum storage cost is high. By contrast, with a low maximum storage cost, approximate storage exhibits high performance using a low bit cost approximate multiple-level cell (MLC) S-SCM.

show abstract

“…Algorithm I is the non-volatile memory capacity control algorithm, which triggers every V Byte read/write access to the storage controller [23,24]. In this study, V is set to 50 Mbyte.…”

mentioning

confidence: 99%

Heterogeneous Integration of Precise and Approximate Storage for Error-Tolerant Workloads

Matsui

Takeuchi

2023

IEICE Trans. Fundamentals

Self Cite

View full text Add to dashboard Cite

show abstract

Design and Application of Bad Block Management Strategy for On-Board Solid-State Memory

Xiao

Zhao

et al. 2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Dynamic Adjustment Mechanism of Specialty Setting in Application Oriented Universities Under the Background of Big Data

Tian

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The specialty setting and adjustment in colleges and universities are closely related to the development of local economy and society. In order to cultivate high-quality talents, colleges and universities must base on the needs of current economic development, follow the law of professional development, set up new majors and transform old majors. However, there are many defects in the dynamic adjustment mechanism of specialty setting in traditional application-oriented colleges and universities law has been unable to adapt to mass information processing. Based on this, this paper studies the dynamic adjustment mechanism of specialty setting in application-oriented universities under the background of big data. Based on the big data mining algorithm, this paper proposes a dynamic adjustment mechanism of specialty setting in application-oriented colleges and universities, and selects two majors with the same basic situation to verify the method in this paper. In the verification process, we compare the method in this paper with the traditional method. The results show that the employment rate of graduates is 63%, the employment rate of graduates is 41%, and the rate of voluntary filling is 12%. However, among the students who adopt the traditional method, the employment rate is 81%, the employment rate of graduates is 63%, and the rate of voluntary filling is 21%. It can be seen that the dynamic adjustment mechanism of specialty setting in application-oriented colleges and universities proposed in this paper is feasible under the background of big data, and this study also provides a new reference direction for the adjustment of specialty setting in colleges and universities.

show abstract

Dynamic Adjustment of Storage Class Memory Capacity in Memory-Resource Disaggregated Hybrid Storage With SCM and NAND Flash Memory

Cited by 5 publications

References 17 publications

Heterogeneous Integration of Precise and Approximate Storage for Error-Tolerant Workloads

Heterogeneous Integration of Precise and Approximate Storage for Error-Tolerant Workloads

Design and Application of Bad Block Management Strategy for On-Board Solid-State Memory

Dynamic Adjustment Mechanism of Specialty Setting in Application Oriented Universities Under the Background of Big Data

Contact Info

Product

Resources

About